Juan Vasquez Correa

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Professur für Informatik (Mustererkennung)

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users (2019) Arias Vergara T, Vasquez Correa J, Gollwitzer S, Orozco-Arroyave JR, Schuster M, Nöth E Book chapter / Article in edited volumes Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients (2019) Vasquez Correa J, Rios-Urrego CD, Rueda A, Orozco Arroyave JR, Krishnan S, Nöth E Book chapter / Article in edited volumes Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages (2019) Vasquez Correa J, Arias Vergara T, Rios-Urrego CD, Schuster M, Rusz J, Orozco Arroyave JR, Nöth E Book chapter / Article in edited volumes Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features (2019) Rios-Urrego CD, Vargas-Bonilla F, Nöth E, Lopera F, Orozco Arroyave JR Journal article, Original article Speech differences between CI users with pre- and postlingual onset of deafness detected by speech processing methods on voiceless to voice transitions (2019) Arias Vergara T, Orozco Arroyave JR, Vasquez Correa J, Nöth E, Schuster M, Gollwitzer S, Högerle C Conference contribution, Abstract of a poster Natural Language Analysis to Detect Parkinson's Disease (2019) Perez-Toro PA, Vasquez Correa J, Strauß M, Orozco Arroyave JR, Nöth E Conference contribution Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies (2019) Hosseini-Kivanani N, Vasquez Correa J, Stede M, Nöth E Conference contribution Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users (2019) Arias Vergara T, Vasquez Correa J, Gollwitzer S, Orozco Arroyave JR, Schuster M, Nöth E Conference contribution, Original article Feature space visualization with spatial similarity maps for pathological speech data (2019) Klumpp P, Vasquez Correa J, Haderlein T, Nöth E Conference contribution Phonet: A tool based on gated recurrent neural networks to extract phonological posteriors from speech (2019) Vasquez Correa J, Klumpp P, Orozco Arroyave JR, Nöth E Conference contribution